import opensr_test import matplotlib.pyplot as plt from utils import create_opensr_model, run_opensr_model # Load the model model = create_opensr_model(device="cpu") # Load the dataset dataset = opensr_test.load("naip") lr_dataset, hr_dataset = dataset["L2A"], dataset["HRharm"] # Run the model results = run_opensr_model( model=model, lr=lr_dataset[7], hr=hr_dataset[7], device="cpu" ) # Display the results fig, ax = plt.subplots(1, 3, figsize=(10, 5)) ax[0].imshow(results["lr"].transpose(1, 2, 0)/3000) ax[0].set_title("LR") ax[0].axis("off") ax[1].imshow(results["sr"].transpose(1, 2, 0)/3000) ax[1].set_title("SR") ax[1].axis("off") ax[2].imshow(results["hr"].transpose(1, 2, 0) / 3000) ax[2].set_title("HR") plt.show()